Summary
Dean Koch is an Environmental Information Specialist and quantitative data scientist with 10 years of experience applying mathematical modelling and modern statistical methods to complex environmental systems. He builds production-ready software and reproducible data pipelines for hydrology, forest ecology, and marine biology problems, including watershed delineation tools, automated weather grid archives, and a universal kriging package. His PhD-level background in applied mathematics lets him bridge theory and practice—training predictive models on historical stream discharge and implementing physics-based water-cycle simulations. Dean has a track record of turning heterogeneous spatial data into harmonized, chunked raster products archived for reuse, and he routinely combines R, Python, and GIS to solve big-data environmental questions. Based in Vancouver, he brings both academic rigor and field-focused engineering, often automating tedious ETL tasks that reveal new scientific insight. An unspoken strength is his habit of packaging reproducible tools that make complex spatial analyses accessible to non-specialist stakeholders.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at University of Alberta
Bachelor of Science (BSc), Biology, Mathematics & Statistics, Bachelor of Science (BSc), Biology, Mathematics & Statistics at University of Victoria
Victoria High School